Weight loss results in obligatory reductions in energy expenditure (EE) due to loss of metabolically active fat-free mass (FFM). This is accompanied by adaptive reductions (i.e. adaptive thermogenesis) designed to restore energy balance while in an energy crisis. While the ‘3500-kcal rule’ is used to advise weight loss in clinical practice, the assumption that EE remains constant during energy restriction results in a large overestimation of weight loss. Thus, this work proposes a novel method of weight-loss prediction to more accurately account for the dynamic trajectory of EE. A mathematical model of weight loss was developed using ordinary differential equations relying on simple self-reported inputs of weight and energy intake to predict weight loss over a specified time. The model subdivides total daily EE into resting EE, physical activity EE, and diet-induced thermogenesis, modelling obligatory and adaptive changes in each compartment independently. The proposed model was tested and refined using commercial weight-loss data from participants enrolled on a very low-energy total-diet replacement programme (LighterLife UK, Essex). Mathematical modelling predicted post-intervention weight loss within 0.75% (1.07 kg) of that observed in females with overweight or obesity. Short-term weight loss was consistently underestimated, likely due to considerable FFM reductions reported on the onset of weight loss. The best model agreement was observed from 6 to 9 weeks where the predicted end-weight was within 0.35 kg of that observed. The proposed mathematical model simulated rapid weight loss with reasonable accuracy. Incorporated terms for energy partitioning and adaptive thermogenesis allow us to easily account for dynamic changes in EE, supporting the potential use of such a model in clinical practice.

Diet indices are quantitative assessments of the quality of population intake. Understanding diet quality is crucial to support health and well-being; however, knowledge of diet quality across racial groups is limited. To examine diet quality of acial groups ‘White’, ‘Black’, ‘Asian’, and ‘Other’ in the United Kingdom (U.K.) and United States (U.S.), U.K. and U.S. national survey data were used to calculate Alternative Healthy Eating Index (AHEI-2010), Diet Quality Index-International (DQI-I), and EAT-Lancet scores. ANCOVA tests compared median total quality scores across racial groups adjusting for covariates. Kruskal–Wallis tests examined differences in individual component scores. Spearman correlations identified association of diet quality scores across indices. Highest diet quality scores were reported for U.K. and U.S. Asian groups. Most noticeable differences were apparent between U.S. Asian and White/Black groups (62% Asians within highest tertile of AHEI-2010 score vs. 29% Whites; P < 0.001). All racial groups demonstrated poor diet quality in terms of sustainability; EAT-Lancet scores were <40% of maximum total score for U.S. White, Black, and Other groups. AHEI-2010 diet quality scores were moderately associated with EAT-Lancet scores, evident across all groups (r = 0.53–0.65; P < 0.001). There is a need for all groups to increase intake of wholegrains, especially Black groups (mean Wholegrain score for U.S. Black group within DQI-I was 0.60 (maximum score of 5)) as demonstrated within AHEI-2010, DQI-I, and EAT-Lancet component scores. Additionally, increased intake of vegetables and legumes and decreased intake of processed and red meat would improve the adequacy, healthiness, and sustainability of U.K. and U.S. racial diets.

Renal sinus fat (RSF) crucially influences metabolic regulation, inflammation, and vascular function. We investigated the association between RSF accumulation, metabolic disorders, and nutritional status in obese individuals with hypertension. A cross-sectional study involved 51 obese hypertensive patients from Salamat Specialized Community Clinic (February–September 2022). Basic and clinical information were collected through interviews. Data included anthropometrics, blood pressure, number of antihypertensive medications, body composition (bioelectrical impedance analysis), dietary intake (semi-quantitative 147-item food frequency questionnaire), and blood samples. Renal sinus fat was measured via ultrasonography. Statistical analyses included Pearson correlation, binary logistic regression, and linear regression. RSF positively correlated with abdominal visceral adipose tissue (VAT) area (P = 0.016), systolic blood pressure (SBP) (P = 0.004), and diastolic blood pressure (DBP) (P = 0.005). A strong trend toward a positive association was observed between antihypertensive medications and RSF (P = 0.062). In linear regression, RSF was independently associated with abdominal VAT area, SBP, and DBP after adjusting for confounders. After considering other risk factors, RSF volume relates to prescribed antihypertensive medications, hypertension, and central fat accumulation in obese hypertensive subjects. These findings suggest the need for further investigations into whether RSF promotes metabolic disorders.

Although dietary factors have been examined as potential risk factors for liver cancer, the evidence is still inconclusive. Using a diet-wide association analysis, our research evaluated the associations of 126 foods and nutrients on the risk of liver cancer in a Chinese population. We obtained the diet consumption of 72,680 women in the Shanghai Women’s Health Study using baseline dietary questionnaires. The association between each food and nutrient and liver cancer risk was quantified by Cox regression model. A false discovery rate of 0.05 was used to determine the foods and nutrients which need to be verified. Totally 256 incident liver cancer cases were identified in 1,267,391 person-years during the follow-up duration. At the statistical significance level (P ≤ 0.05), higher intakes of cooked wheaten foods, pear, grape and copper were inversely associated with liver cancer risk, while spinach, leafy vegetables, eggplant and carrots showed the positive associations. After considering multiple comparisons, no dietary variable was associated with liver cancer risk. Similar findings were seen in the stratification, secondary and sensitivity analyses. Our findings observed no significant association between dietary factors and liver cancer risk after considering multiple comparisons in Chinese women. More evidence is needed to explore the associations between diet and female liver cancer occurrence.

To assess the effectiveness of the ‘Weet wat je eet’ (‘Know what you eat’) school-based nutrition education programme on behavioural determinants and behaviour among students aged 12–15 years. A quasi-experimental study design was used, collecting data at baseline and after implementing the programme in both an intervention and control group (in total 611 students) across the Netherlands. Students from eighteen Dutch secondary education schools completed two consecutive questionnaires, assessing knowledge, self-efficacy, attitude, subjective norm, intention, and behaviours related to healthy, safe, and sustainable nutrition. Multilevel regression analyses were conducted corrected for gender, grade, education level, and school location. The intervention group showed a significant higher increase in self-efficacy, attitude, intention to drink water (all three P < 0.01), and a significant higher decrease in the consumption of sugary drinks, snacks, and meat (all P < 0.05) than the control group. Both the groups scored significantly higher on knowledge during the post-test (both P < 0.05), although the intervention group not significantly higher than the control group (P = 0.14). No significant effects were observed for subjective norm, intention, and fruit, vegetable, and whole grain bread consumption. The results of this study showed positive effects of the ‘Weet wat je eet’ school-based nutrition education programme on self-efficacy and attitude towards healthy, safe and sustainable nutrition, intention to drink more water, and various healthy eating behaviours among secondary school students. Further research is necessary to assess the long-term sustainability of these results.